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Victory Asian

@victoryasian

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Data Annotator at Turing, evaluating text and audio outputs for AI/ML training.

Nigeria

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At Turing, I label and annotate text and audio datasets for AI/ML model training and evaluation. I also compare outputs side by side, rating their quality, coherence, and correctness against defined criteria.

I review audio for accuracy, clarity, and compliance with project guidelines, and apply structured frameworks to rate and rank AI-generated content.

As a freelance Data Annotator at RWS, I labelled and categorized text and audio data, evaluated samples against quality benchmarks, and flagged inconsistencies and inaccuracies.

My Mathematics degree from Akwa Ibom State University and training in machine learning inform my approach to annotation and evaluation. I work with statistical methods and tools including Python, R, SQL, Tableau, Power BI, and Excel.

Experience

Work history, roles, and key accomplishments

Current

Data Annotator

Current

Turing

Jan 2025 - Present (1 year 9 months)

Labelled and annotated text and audio datasets to support the training and evaluation of AI/ML models. Conducted side-by-side comparisons of content outputs and applied structured evaluation frameworks to rate and rank AI-generated content.

Data Labeling Annotations Content Comparison Quality Evaluation Audio Annotation Transcript Review Annotation Guidelines Consistency Checks AI ML Training Data

Data Annotator

RWS

Sep 2025 - Apr 2026 (7 months)

Labelled and categorized text and audio data to support AI/ML model training. Compared and evaluated content outputs against quality benchmarks, flagging inconsistencies and inaccuracies.

Data Labeling categorization Content Comparison Quality Evaluation Audio Annotation Transcript Review Annotation Guidelines Consistency Checks AI ML Training Data

Education

Degrees, certifications, and relevant coursework

DeepLearning.AI

Deep Learning Specialization, Deep Learning

Currently pursuing the Deep Learning Specialization from DeepLearning.AI, covering neural networks, CNNs, sequence models, hyperparameter tuning, and TensorFlow.

Stanford Online

Machine Learning Specialization, Machine Learning

2024 - 2024

Completed the Machine Learning Specialization from Stanford Online / DeepLearning.AI, covering supervised and unsupervised learning, advanced algorithms, recommender systems, and reinforcement learning.